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cs.CR2026

Runaway Reaction: When Benign Skills Compose into Malicious Behavior

Zunlong Zhou, Ziyuan Yang, Mengyu Sun +1

Agent skills package task-specific knowledge and procedures that can be composed to support complex agent tasks, while public marketplaces provide a growing pool of reusable skills…

cs.CV2026

One-Time Training for All Grains: Open-Set Grain Recognition and Quantitative Analysis

Qihe Su, Mengyu Sun, Yuxi Ke +4

Advances in crop breeding have introduced an increasing number of grain varieties, creating a growing demand for efficient variety recognition and quantitative analysis. However, e…

cs.AI2026

Whispers in the Noise: Surrogate-Guided Concept Awakening via a Multi-Agent Framework

Mengyu Sun, Ziyuan Yang, Zunlong Zhou +3

Diffusion models (DMs) are widely used for text-to-image generation, but their strong generative capabilities also raise concerns about unsafe or undesirable content. Concept erasu…

cs.CV2026

Trust the Unreliability: Inward Backward Dynamic Unreliability Driven Coreset Selection for Medical Image Classification

Yan Liang, Ziyuan Yang, Zhuxin Lei +3

Efficiently managing and utilizing large-scale medical imaging datasets with limited resources presents significant challenges. While coreset selection helps reduce computational c…

cs.SE2026

Code Fingerprints: Disentangled Attribution of LLM-Generated Code

Jiaxun Guo, Ziyuan Yang, Mengyu Sun +3

The rapid adoption of Large Language Models (LLMs) has transformed modern software development by enabling automated code generation at scale. While these systems improve productiv…

cs.CV2026

LURE: Latent Space Unblocking for Multi-Concept Reawakening in Diffusion Models

Mengyu Sun, Ziyuan Yang, Andrew Beng Jin Teoh +3

Concept erasure aims to suppress sensitive content in diffusion models, but recent studies show that erased concepts can still be reawakened, revealing vulnerabilities in erasure m…